Quantile estimation of frontier production function

被引：1

作者：

Bernini C. ^{[1
]}

Freo M. ^{[1
]}

Gardini A. ^{[1
]}

机构：

[1] Department of Statistics, University of Bologna, Bologna

来源：

Empirical Economics | 2004年 / 29卷 / 2期

关键词：

Production function; Quantile regression; Semiparametric frontier model; Stochastic frontier model;

D O I：

10.1007/s00181-003-0173-5

中图分类号：

学科分类号：

摘要：

The purpose of the paper is to provide new information on the performance of frontier estimation methods, using data from Italian hotel industry. Quantile regression is also suggested as solution to frontier production function estimation. It is shown that, while the choice of estimation methods among conventional techniques significantly affects the economic analysis, quantile regression provides valuable new information by estimating the whole spectrum of production functions corresponding to different efficiency levels. In addition, the method makes available a coherent framework to analyze the performance of the conventional techiniques. © Springer-Verlag 2004.

引用

页码：373 / 381

页数：8

共 12 条

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